The dataset used for this little project is consisting of bike sales orders from a bike manufacturer to different shops in the US. We will use this data to see the customers’ preferences towards the different bike models in general and by segments.
Our customer-base consists of 30 bike shops. Several customers have purchasing preferences for Road or Mountain Bikes bases on the proportion purchased by sub-categories.
This is a 2D projection bases on customer similarity that exposes 4 clusters, which are key segments in the customer base.